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Top 5 Data Science GitHub Repositories and Reddit Discussions (January 2019)

The top 5 data science GitHub repositories and Reddit discussions from January 2019. It includes links to awesome NLP and computer vision libraries.

Apache Sqoop: Features, Architecture and Operations

Apache SQOOP is a tool designed to aid in the large-scale export and import of data into HDFS from structured data repositories.

How to Make an Image Classification Model Using Deep Learning?

In this article, you will use simple image classification model using a CNN wherein you will classify images of cats and dogs.

Train Machine Learning Models Using CPU Multi Cores

We use CPU cores of the central processing unit to train our machine learning model. Let's understand how number of cores impact the model

Using Predictive Power Score to Pinpoint Non-linear Correlations

In this article, let us understand how we can use Predictive Power Score to Pinpoint Non-linear Correlations in our dataset

Top 10 AI News Websites

Stay ahead in the dynamic realm of AI with insights from top 10 news websites covering trends, innovations, and applications.Read Now!

Understanding Mosaic Data Augmentation

Let us explore mosaic data augmentation for a more enhanced model adaptability to real-world scenarios and object recognition.

Building Generative AI Applications with LangChain and OpenAI API

In this blog, we will learn about Generative AI applications with LangChain and by building a pipeline with OpenAI API and ChromaDB.

Slack Data Engineering: Design and Architecture

Slack is a communication platform. We will see some challenges faced by it. along with a high-level overview of Slack Data Engineering

Ultimate Beginner’s Guide to Win Classification Hackathons with a Data Science Use Case